Meiling Dai
Impact in
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
Papers in
-
- Influenza Virus Research Studies 7
- Respiratory viral infections research 2
-
- Viral gastroenteritis research and epidemiology 3
- Viral Infections and Vectors 2
- Co-authors
- Erik de Vries (6 shared papers)Cornelis A. M. de Haan (6 shared papers)Frank J. M. van Kuppeveld (6 shared papers)Hongbo Guo (3 shared papers)Ryan McBride (2 shared papers)Raoul J. de Groot (2 shared papers)Peter J. M. Rottier (1 shared paper)James C. Paulson (2 shared papers)
- Journals
- Journal of Virology (3 papers)Virus Research (1 paper)PLoS Pathogens (1 paper)Acta Biomaterialia (1 paper)Journal of General Virology (1 paper)
- Partner nations
- NetherlandsAustraliaUnited States
In The Last Decade
Meiling Dai
10 papers receiving 391 citations
Peers
Comparison fields: 5 of 63
- Agronomy and Crop Science 92
- Epidemiology 280
- Infectious Diseases 128
- Animal Science and Zoology 60
- Endocrinology 14
Countries citing papers authored by Meiling Dai
This map shows the geographic impact of Meiling Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Meiling Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Dai more than expected).
Fields of papers citing papers by Meiling Dai
This network shows the impact of papers produced by Meiling Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Meiling Dai. The network helps show where Meiling Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 100 | |
| 2 | 2015 | 71 | |
| 3 | 2017 | 39 | |
| 4 | 2018 | 37 | |
| 5 | 2013 | 36 | |
| 6 | 2013 | 32 | |
| 7 | 2022 | 30 | |
| 8 | 2016 | 30 | |
| 9 | 2021 | 13 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 0 |
About Meiling Dai
Meiling Dai is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Animal Science and Zoology and Genetics, having authored 11 papers that have together received 400 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Animal Virus Infections Studies (4 papers), RNA and protein synthesis mechanisms (3 papers), Virus-based gene therapy research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Disease Management and Epidemiology (2 papers), Viral Infections and Vectors (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Agronomy and Crop Science (92 citations), Epidemiology (280 citations), Infectious Diseases (128 citations), Animal Science and Zoology (60 citations) and Endocrinology (14 citations). Meiling Dai has collaborated with scholars based in Netherlands, Australia and United States. Frequent co-authors include Erik de Vries, Cornelis A. M. de Haan, Frank J. M. van Kuppeveld, Hongbo Guo, Ryan McBride, Raoul J. de Groot, Peter J. M. Rottier, James C. Paulson, Huib H. Rabouw and J.W.M. van Lent. Their work appears in journals such as Journal of Virology, Virus Research, PLoS Pathogens, Acta Biomaterialia and Journal of General Virology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.